
This paper takes a recent issue of RB Vetenskap as its empirical point of departure and examines converging clinical observations that challenge inflammation-centred models of pain. These include persistent pain without inflammatory explanation, registry data that appear to exceed current measurement frameworks, and increasing biological sophistication alongside fragmented clinical organisation. Using the Universal Resonance Model (URM) as an interpretive framework, the paper conceptualises pain as an emergent expression of cross-system instability rather than a direct marker of inflammation or tissue pathology. The analysis demonstrates how longitudinal patterns, variability, and timing—already present in registry data—can become clinically meaningful when interpreted through a system-dynamic lens.
Chronic pain, System instability, Health Data Science, Autonomic–immune coupling, Pain beyond inflammation, Rheumatology, Early-warning signals, Timing and recovery dynamics, Loss of physiological coherence, Autonomic dysregulation, Cross-system dynamics, Patient-reported outcomes, Systems Biology, Pain Research, Longitudinal variability, Complex Systems, Pain without inflammation, Clinical fragmentation, Systems medicine, Digital Health and Clinical Systems, Nociplastic pain, Registry-based clinical data, Clinical Medicine, Universal Resonance Model (URM, Dynamic Systems in Medicine, Translational Medicine
Chronic pain, System instability, Health Data Science, Autonomic–immune coupling, Pain beyond inflammation, Rheumatology, Early-warning signals, Timing and recovery dynamics, Loss of physiological coherence, Autonomic dysregulation, Cross-system dynamics, Patient-reported outcomes, Systems Biology, Pain Research, Longitudinal variability, Complex Systems, Pain without inflammation, Clinical fragmentation, Systems medicine, Digital Health and Clinical Systems, Nociplastic pain, Registry-based clinical data, Clinical Medicine, Universal Resonance Model (URM, Dynamic Systems in Medicine, Translational Medicine
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